BI Strategic Planning - How to Actually Get Value From Your Reporting Investment

Most of the data problems we get called in to fix aren't really data problems. They're planning problems wearing a data costume. A company buys Power BI licences, a few keen people build some reports, and eighteen months later there are four hundred reports nobody trusts, three versions of "revenue" that don't agree, and an executive team that has quietly gone back to asking for things in Excel. Nobody set out to build that mess. It happened because there was no strategy, just activity.

Microsoft has a long piece in their implementation planning series on BI strategic planning, and it's genuinely good reading if you have the patience for it. What I want to do here is talk about what strategic planning looks like when you're actually in the room with a business, not reading the theory. The principles hold up. The hard part is doing them when there's a backlog of report requests and everyone wants their dashboard yesterday.

Strategy Is About Saying No to Things

Here's the bit people skip. A BI strategy isn't a list of every report you'd like to build. It's a set of decisions about what you're going to prioritise and, just as importantly, what you're not going to do. If your strategy could be summed up as "build good reports for everyone who asks," you don't have a strategy. You have a queue.

The organisations that get real value out of their data have made some hard calls. They've decided which business questions actually move the needle, and they've pointed their effort there. A logistics company we worked with had a wishlist of about sixty dashboards. When we sat down and asked which three would change a decision someone makes every week, the list got a lot shorter and a lot more useful. Most of the original sixty were nice-to-haves that would have been glanced at once and forgotten.

So the first thing strategic planning does is force a conversation about priorities that most teams never have. What are the handful of things this business needs to see clearly to run better? Start there. Everything else can wait.

Tie It to the Business, Not the Technology

The biggest trap in BI planning is making it a technology exercise. People start arguing about whether to use import or DirectQuery, whether to roll out Fabric, which gateway architecture to use, and they forget to ask what any of it is for. Those technical questions matter, but they come second. They're answers, not questions.

A good BI strategy starts with the business objectives and works backwards. If the goal is to reduce stock-outs in retail, the strategy is about getting inventory and sales data into the hands of the people making ordering decisions, fast enough to act on. The technology serves that. When you start from the objective, the technical choices mostly answer themselves, because you know what the data needs to do.

This is the thinking we bring to our AI strategy work as well, and it's the same muscle. The question is never "what can this tool do." It's "what does the business need, and what's the shortest path to giving it to them." Tools are cheap. Clarity about what you're trying to achieve is the expensive, rare part.

The Maturity Question

Microsoft's guidance leans heavily on the idea of assessing where your organisation sits on a maturity curve, and I think that's right, though I'd put it more bluntly. Be honest about where you actually are, not where you'd like to be.

I've seen companies try to roll out self-service analytics to the whole business when half the staff couldn't write a SUMIF. The ambition was lovely. The reality was a pile of broken reports built by people who'd been handed a powerful tool and no training. Self-service BI only works when the people doing the self-serving actually have the skills, and most organisations massively overestimate where their teams sit.

So a real maturity assessment asks awkward questions. Do people trust the numbers? Is there a single agreed definition of the core metrics, or does every department calculate things their own way? Can the average manager read a report without someone explaining it? If the honest answers are shaky, your strategy needs to fix the foundations before it reaches for the clever stuff. There's no point building a sophisticated analytics capability on top of an organisation that can't agree what a "customer" is.

This is exactly where good training earns its keep. The gap between owning Power BI and being able to use it well is enormous, and you can't strategy your way across it. People have to actually learn the tool.

Centralised, Decentralised, or Something in Between

One of the recurring tensions in any BI strategy is how much you centralise. Do you have a single team that builds everything, which gives you control and consistency but becomes a bottleneck? Or do you push report building out to the business units, which is faster and more responsive but tends to produce chaos and conflicting numbers?

The honest answer is that almost everyone lands somewhere in the middle, and the strategy is about drawing the line in the right place. A common pattern that works well is a central team that owns the data models, the certified datasets, the definitions of the key metrics, and then lets business users build their own reports on top of that trusted foundation. The centre guarantees the numbers. The edges get the freedom to slice them however they need.

Getting that boundary right is one of the more valuable things a BI strategy can do. Too centralised and the business chafes and goes rogue with their own spreadsheets. Too loose and you're back to four versions of revenue. The skill is in deciding what must be controlled centrally and what can safely be set free. We help organisations design that operating model as part of our broader Power BI consulting, because it's the kind of decision that's painful to unwind once it's baked in.

Governance Without Strangling Everyone

Governance has a bad name, and partly it deserves it. Plenty of BI governance regimes are just bureaucracy that slows everyone down and gets quietly ignored. But the answer to bad governance isn't no governance. It's governance that's proportionate to the risk.

The useful framing is to think about what would genuinely hurt if it went wrong. Financial reports that feed the board need tight control, version history, certified data, the lot. An internal dashboard that helps a team track its own task list can be left fairly loose. Applying the same heavy process to both is how you end up with a governance framework that everyone resents and routes around.

A sensible strategy sets up tiers. Some content is certified and locked down. Some is promoted and reasonably trusted. Some is wild-west personal stuff, and that's fine, as long as everyone understands which tier they're looking at. The failure mode is when a personal report built by someone in finance gets treated as gospel and ends up in a board pack. Clear labelling and a shared understanding of the tiers prevents most of that.

Make It a Living Thing

The last point, and the one most often ignored, is that a BI strategy is not a document you write once and file away. Plenty of organisations have a beautiful strategy deck from three years ago that bears no resemblance to what they actually do now. The business changed. The strategy didn't. So it became fiction.

A strategy that works is one you revisit. Quarterly is about right for the review cadence, with a bigger rethink once a year. The questions are simple. Is what we're building still aligned to what the business needs? Has our maturity moved, and can we now do things we couldn't before? What's getting used and what's gathering dust? That last one is underrated. Looking at usage data on your own reports is one of the most honest mirrors you can hold up. The reports nobody opens are telling you something.

What I'd Actually Do First

If you're starting from scratch, or starting from a mess, the order I'd recommend is this. Get clear on the handful of business questions that matter most. Be brutally honest about your maturity. Decide where the line sits between central control and local freedom. Put light, tiered governance around it. Then build, review, and adjust.

That sounds simple, and the principles are. The discipline to actually follow them when there's a screaming backlog and a dozen stakeholders each convinced their dashboard is the priority is the hard part. That's usually where an outside perspective helps, because we're not caught up in the internal politics and can say the unpopular thing about what's worth doing and what isn't.

If your reporting has grown into something nobody quite trusts, and you suspect there's no real strategy holding it together, that's a very common place to be and a very fixable one. Have a chat with us about where things sit. The fix usually starts with a much shorter list than anyone expects.